Portion-Varying User Interest Profiles for Streaming Media
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Solution Overview
Problem
Current recommendation systems for streaming media fail to accurately recommend content to users based on varying interests, as they cluster users by overall enjoyment rather than specific reasons for liking a show, leading to ill-advised recommendations.
Innovation Solution
A method and system that create user interest profiles by collecting and analyzing portion-varying ratings throughout a streaming media item, allowing for more precise recommendations and content creation based on high-interest segments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current recommendation systems cluster users by overall enjoyment of shows, then users can receive personalized recommendations, but the recommendations become ill-advised because they don't account for different reasons users like the same show
Solution Approach 1:
The patent segments user interest into portion-varying ratings for different segments of a show rather than a single overall rating. This allows the system to capture which specific parts of a show a user likes, preserving the nuanced reasons for user preference and enabling more accurate recommendations.
Solution Approach 2:
The patent applies local quality by creating interest profiles that vary across different portions of media content. Instead of treating all parts of a show uniformly, the system identifies high-interest and low-interest segments within each show, allowing recommendations to be based on specific quality aspects that resonate with user preferences.
2Measurement precision
If the system collects portion-varying ratings throughout a streaming media item, then it can create more accurate user interest profiles, but the complexity of data collection and processing increases
Solution Approach 1:
The patent implements periodic action by presenting rating opportunities at regular intervals or at key transition points during media playback rather than continuously. This reduces the burden on users while still capturing sufficient data to create accurate interest profiles across different portions of the content.
Solution Approach 2:
The system allows users to provide ratings in a self-service manner during natural viewing pauses or transitions, without requiring complex intervention from the system. Users can easily indicate their interest levels for different segments, and the system automatically processes this data into interest profiles.
Data Source
AI summary
A method includes determining, at a processor, a difference between a first user interest profile of a first user and a second user interest profile of a second user. The difference is associated with a portion of a first streaming media item. The method further includes transmitting, to a device associated with a third user interest profile of a third user, a first indication associated with the first streaming media item based on the difference. The first user, the second user, and the third user are distinct users.